The Information Systems Department aims at providing high‑quality education, consultancy services, and specialized professional training in the field of Information Systems, and preparing highly competent graduates equipped with strong theoretical foundations and practical skills that enable them to meet the needs of the local and regional labor markets. This is achieved through the optimal utilization of qualified academic resources and the provision of an engaging and stimulating learning environment, in accordance with recognized quality assurance and academic accreditation standards.

To become a locally leading and regionally distinguished department in the field of Information Systems.

  1. Provide students with knowledge, skills, and ethics related to electronic engineering specializations.
  2. Conduct research and studies of scientific value that have an applied nature in electronic engineering disciplines.
  3. Prepare qualified engineers who can apply engineering sciences and methods in the labor market, and make decisions and deal with crises.
  4. Develop curricula, and scientific and practical requirements periodically to ensure following rapid changes and in harmony with the labor market requirements.
  5. Exchange scientific and training experiences with similar institutions, organizations, and centers.
  6. Implement mechanisms that ensure the quality of the educational process to obtain accreditation for the academic programs offered by the department.
  7. Develop the academic and professional skills of the academic staff.
  8. Provide technical and scientific consultations to all governmental and private sectors of society.
  • The first bachelor’s program in Yemen specializing in Computer Engineering and Intelligent Systems.
  • Highly qualified and dedicated academic and technical staff.
  • Modern and advanced laboratories and workshops.
  • Comprehensive infrastructure and conducive learning environment.
  • Outstanding student activities and services.
  • A contemporary curriculum aligned with accreditation standards and labor market needs.
  • Practical training opportunities in leading companies and institutions.
  • International professional certifications, such as Cisco Academy certification.
  • Access to specialized diplomas and training courses tailored to market requirements.

Academic Programs

Scientific research

Research areas within the Department of Information Systems (IS) lie at the intersection of advanced technologies and strategic management. The focus extends beyond “how systems are built” (as in Information Technology) to “how to maximize the value derived from these systems within business environments.”

The department’s key research focus areas include:

1. Business Intelligence and Data Analytics (Business Intelligence – BI)

This research stream centers on transforming large-scale data into strategic decisions:
  • Predictive Analytics:
    Employing machine learning techniques to forecast consumer behavior or market fluctuations.
  • Artificial Intelligence in Decision-Making:
    Examining managerial trust in algorithm-generated decisions (Augmented Intelligence).
  • Real-time Business Intelligence:
    Analyzing streaming data from social media platforms and IoT sensors to enhance operational performance.
  • Interactive Dashboards (Data Visualization):
    Investigating optimal methods for presenting complex data to support rapid decision-making.

2. E-Business

This area focuses on the comprehensive digital transformation of enterprises:
  • Platform Economy:
    Studying business models such as Uber and Airbnb and their impact on traditional markets.
  • Conversational Commerce:
    Utilizing chatbots and generative AI to improve shopping experiences and customer service.
  • Digital Supply Chains (Blockchain in Supply Chain):
    Applying blockchain technology to enhance transparency and trace product movement from production to consumers.
  • Personalized Digital Marketing:
    Researching the “privacy versus personalization” dilemma and methods for targeting customers without violating data privacy.

3. Management Information Systems (Management Information Systems – MIS)

This domain explores the interactions among individuals, systems, and organizations:
  • Digital Governance and Information Security:
    Investigating managerial policies that safeguard institutional data against breaches (with emphasis on administrative, not only technical, aspects).
  • Technology Adoption:
    Studying factors that influence employee acceptance or resistance toward implementing new systems (such as ERP systems).
  • Remote Work and Virtual Teams:
    Assessing the impact of technology on employee productivity and organizational communication within hybrid work environments.
  • Knowledge Management Systems:
    Exploring how institutions can archive employee expertise and transform it into lasting digital assets.

Graduation Projects List

Project Name Supervisor Academic Year
Professional Social Networking Application (Job Tag) Mr. Hassan Abdulraqeb Asaad 2024/2025
HR System for Small and Medium Enterprises (SMEs) Mr. Mohammed Al-Souti 2024/2025
Attendance Management Accelerator Dr. Amira Al-Adimi 2024/2025
Prepaid Electricity Bill Payment System Dr. Wadee Al-Qabati 2023/2024
E-Marketplace Platform for Supplier Offers and Retailer Product Requests Prof. Dr. Abdullatif Ghallab 2023/2024
Customer Inquiry Response Chatbot Dr. Sadiq Al-Tawil 2024/2025
"Khedmatak Le Baitak": Home Services Provision Platform Prof. Dr. Abdullatif Ghallab 2023/2024
Smart Application for Pest Control and Agricultural Disease Management Dr. Waleed Shaher 2024/2025
Mobile Application for Yemeni Sign Language Education Dr. Wedad Al-Sorori 2024/2025
Creative Project Funding Platform Mr. Ahmed Fouad 2024/2025
Parcel Management System Dr. Nabeel Al-Makhlafi 2024/2025

Research Publications – 2025

S. M. M. Al‑Hieey and A. H. Al‑Hashedi, “A Framework of Business Intelligence Systems Effect on Decision-Making Quality in Higher Education Institutions,” UST Journal of Engineering and Technology, vol. 3, no. 1, pp. 21–45, May 2025. doi: 10.59222/ustjet.3.1.2.

A. H. Al‑Hashedi, H. A. Al‑Halabi, and A. Ghallab, “The Impact of Using Social Media in Learning on the Academic Performance of Yemeni University Students,” UST Journal of Engineering and Technology, vol. 3, no. 1, pp. 117–136, May 2025. doi: 10.59222/ustjet.3.1.5.

S. A. Al‑Headary, A. H. Al‑Hashedi, and R. S. Saeed, “Analyzing the Effect of Business Intelligence and Analytics on Organization Performance from Dynamic Capabilities Perspective in Yemeni Private,” UST Journal of Engineering and Technology, vol. 3, no. 2, pp. 81–109, Dec. 2025. doi: 10.59222/ustjet.3.2.4.

N. Almekhlafi, A. H. Al‑Hashedi, and A. A. F. Mhoub, “A Roadmap for Cloud Computing Migration in Yemeni Universities Using the ROCCA Model,” UST Journal of Engineering and Technology, vol. 3, no. 2, pp. 111–124, Dec. 2025. doi: 10.59222/ustjet.3.2.5.

Abdullah Alhashdi, Khadega Anaam, Arabic Fake News Detection Model Using Ensemble Machine Learning Classifiers, International Journal of Research and Analytical Reviews (IJRAR), 2025.

F. A. K. Al‑Fahaidy, M. Y. H. Al‑Shamri, A. Ghallab, A. F. Aldubai, B. Al‑Fuhaidi, S. Al‑Taweel, … & M. F. A. Ahmed, “Simplified Deep Neural Network Models for Cardiovascular Disease Classification,” Applied Computational Intelligence and Soft Computing, 2025(1), 8709881. https://doi.org/10.1155/acis/8709881

M. Al‑Duais, A. A. Al‑Khulaidi, F. S. Mohamad, W. Yousef, B. Al‑Fuhaidi, S. A. M. Al‑Taweel, … & N. Yusoff, “Comparative Analysis of Machine Learning and Deep Learning Techniques for Early Prediction of Breast Cancer,” Journal of Future Artificial Intelligence and Technologies, 2(2), 242‑254. https://doi.org/10.62411/faith.3048-3719-68.

W. Yousef, A. Al‑Adimi, A. Ghallab, A. Alameri, M. Al‑Dowail and S. Al‑Taweel, “Enhancing University Admissions through Scalable and Fair Machine Learning Models: A Case Study from Yemeni Universities,” 2025 5th International Conference on Emerging Smart Technologies and Applications (eSmarTA), Ibb, Yemen, 2025, pp. 1‑8. doi: 10.1109/eSmarTA66764.2025.11132267.

Research Publications – 2024

A. Al‑Hashedi, N. Almekhlafi, M. T. Ben Othman and A. Ghallab, “An Integrated Theoretical Model for Cloud Computing Adoption in Universities of Yemen,” ICETI 2024, Sana’a, Yemen, pp. 1‑7. doi: 10.1109/ICETI63946.2024.10777110.

B. Al‑Fuhaidi et al., “Anomaly-Based Intrusion Detection System in WSN using DNN Algorithm,” ICETI 2024, Sana’a, Yemen, pp. 1‑8. doi: 10.1109/ICETI63946.2024.10777266.

B. Al‑Fuhaidi, A. Alabbadi, N. Maqtary, W. Al‑Sorori, S. Al‑Taweel and W. Yousef, “Firefly Algorithm Based Proportional Integral Derivative Controller for AQM in TCP Networks,” ICETI 2024, Sana’a, Yemen, pp. 1‑8. doi: 10.1109/ICETI63946.2024.10777241.

S. Al‑Taweel et al., “Knowledge Transfer Challenges: A Practical Study of Yemen Public Telecommunication Corporation,” ICETI 2024, Sana’a, Yemen, pp. 1‑6. doi: 10.1109/ICETI63946.2024.10777154.

Research Publications – 2022

A. Al‑Hashedi, B. Al‑Fuhaidi, A. M. Mohsen, Y. Ali, H. A. Gamal Al‑Kaf, W. Al‑Sorori, & N. Maqtary, “Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID‑19‑Related Conspiracy Theories,” Applied Computational Intelligence and Soft Computing, 2022(1), 6614730. https://doi.org/10.1155/2022/66147300

Research Publications – 2021

B. Al‑Fuhaidi, W. Al‑Sorori, N. Maqtary, A. Al‑Hashedi and S. Al‑Taweel, “Literature Review on Cyber Attacks Detection and Prevention Schemes,” ITSS‑IoE 2021, Sana’a, Yemen, pp. 1‑6. doi: 10.1109/ITSS‑IoE53029.2021.9615288.

A. Ghallab, A. Almuzaiqer, A. Al‑Hashedi, A. Mohsen, K. Bechkoum and W. Aljedaani, “Factors Affecting Intention to Adopt Open Source ERP Systems by SMEs in Yemen,” ITSS‑IoE 2021, pp. 1‑7. doi: 10.1109/ITSS‑IoE53029.2021.9615254.

W. Al‑Sorori et al., “Arabic Sentiment Analysis towards Feelings among Covid‑19 Outbreak Using Single and Ensemble Classifiers,” ITSS‑IoE 2021, pp. 1‑6. doi: 10.1109/ITSS‑IoE53029.2021.9615256.

M. Al‑Dowail and A. Al‑Hashedi, “Stakeholders‑Driven Process Mining Method for Analyzing Emergency Department Processes,” MTICTI 2021, Sana’a, Yemen, pp. 1‑5. doi: 10.1109/MTICTI53925.2021.9664783.

Research Publications – 2019

B. A. Al‑Fuhaidi, H. A. Asaad & S. Al‑Taweel, “An Efficient Fault Tolerance Model for Single and Multi Fault in MPLS Networks,” IJSECS, 5(1), 16‑35. https://doi.org/10.15282/ijsecs.5.1.2019.2.005

S. Ali, H. Abdurahman & B. Al‑Fuhaidi, “E‑Learning Adoption in Open Learning Programs: A Case Study of Public and Private Universities in Jeddah City,” International Journal of Computer Applications, 178(10), 14‑22. doi: 10.5120/ijca2019918823.

Research Publications – 2018

Image in Image Steganography Technique Based on Arnold Transform and LSB Algorithms, IJCA. (Citations: 13)

Cloud Computing Awareness Among Practitioners in Yemeni Universities: An Exploratory Study, Journal of Science and Technology. (Citations: 7)

Exploring Cancer Risk Factors using Data Mining Techniques: A Case Study from Yemen. (Citations: 2)

Research Publications – 2017

The Impact of Service Quality Dimensions on Customer Satisfaction in Telecom Mobile Companies in Yemen, American Journal of Economics. (Citations: 40)

Research Publications – 2016

Determinant of Resistance for ERP System in Private Companies in Yemen, Journal of Science and Technology. (Citations: 3)

Foundational Research (2009–2014)

S. A. K. Al‑Omari, P. Sumari & S. A. Al‑Taweel, “Peer to Peer Media Streaming System: A/V Conferencing System Using Custom Protocol,” FutureTech 2010, Busan, Korea, pp. 1‑8. doi: 10.1109/FUTURETECH.2010.5482693.

Strategic Information Systems Planning for RFID Implementation in Hajj Management Systems (2014). (Citations: 6)

S. A. M. Al‑Taweel & P. Sumari, “Digital Video Watermarking in the Discrete Wavelet Transform Domain,” CGIV 2009, Tianjin, China, pp. 133‑137. doi: 10.1109/CGIV.2009.12.

RFID Applications in Hajj Management System (2013). (Citations: 28)

RFID Adoption Intention in Hajj Organizations (2012). (Citations: 5)

Identifying the Determinants of RFID Adoption Intention in Hajj Organizations (2011). (Citations: 14)

CUSTP: Custom Protocol for Audio and Video Conferencing System over P2P Networks (2010). (Citations: 12)

S. A. M. Al‑Taweel & P. Sumari, “Robust Video Watermarking Based on 3D‑DWT Domain,” TENCON 2009, Singapore, pp. 1‑6. doi: 10.1109/TENCON.2009.5395859. (Citations: 5)

Digital Recognition Using Neural Network (2009). (Citations: 58)

Robust Video Watermarking Based on 3D‑DWT Domain (2009). (Citations: 22)

S. A. M. Al‑Taweel, P. Sumari & H. Kamarulhaili, “Digital Video Watermarking Based on 3D‑Discrete Wavelet Transform Domain,” ICSIPA 2009, Kuala Lumpur, pp. 352‑356. doi: 10.1109/ICSIPA.2009.5478676. (Citations: 21)

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